Maximal Marginal Relevance retrieval

[sam-data-guy-iam]

I am building an agent where I want to retrieve relevant memories to context when receiving a new user question. I see there is a search capability to find the most relevant memories. However, I want to make sure that there is minimal duplication in the returned contexts. I saw this technique called Maximal Marginal Relevance (MMR) e.g. https://www.elastic.co/search-labs/blog/maximum-marginal-relevance-diversify-results that is sort of like doing a minimal set cover for context. Is there already an implementation of this in mem0? I saw there is a reranker option but I wasn't sure how that plays into it.